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DBMS > Amazon DocumentDB vs. InterSystems Caché vs. Quasardb vs. TDSQL for MySQL vs. Yaacomo

System Properties Comparison Amazon DocumentDB vs. InterSystems Caché vs. Quasardb vs. TDSQL for MySQL vs. Yaacomo

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonQuasardb  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonYaacomo  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA multi-model DBMS and application serverDistributed, high-performance timeseries databaseA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument storeKey-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.intersystems.com/­products/­cachequasar.aiwww.tencentcloud.com/­products/­dcdbyaacomo.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.intersystems.comdoc.quasar.ai/­masterwww.tencentcloud.com/­document/­product/­1042
DeveloperInterSystemsquasardbTencentQ2WEB GmbH
Initial release20191997200920132009
Current release2018.1.4, May 20203.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
hostedAndroid
Linux
Windows
Data schemeschema-freedepending on used data modelschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesnonono
Secondary indexesyesyesyes infowith tagsyesyes
SQL infoSupport of SQLnoyesSQL-like query languageyesyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible).NET Client API
JDBC
ODBC
RESTful HTTP API
HTTP APIJDBC
ODBC
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Java
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesnoyes
Triggersnoyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoconsistent hashingAutomatic shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modenoyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and rolesCryptographically strong user authentication and audit trailUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBInterSystems CachéQuasardbTDSQL for MySQLYaacomo
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